Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. About NTT DATA NTT DATA is a global innovator of business and technology services, supporting clients with consulting, cloud, data, artificial intelligence, applications, infrastructure, and managed services.
Our international delivery network combines engineering capability, industry knowledge, and a strong partner ecosystem to help clients innovate and transform with confidence. About the Google Engineer Business The Google Engineer business delivers engineering and technology services for Google Cloud, AI, data, and enterprise programs. The team works across NTT DATA delivery centers, customer organizations, and Google-aligned technical stakeholders to build secure, scalable, reliable, and production-ready solutions.
This role contributes directly by turning Google Cloud and AI capabilities into measurable adoption, productivity, and business outcomes. Role Overview Lead adoption, enablement, and organizational change for Google Cloud and AI services delivered through the Google Engineer business. Connect business leaders, users, customer stakeholders, solution architects, AI engineers, and delivery teams so that Google technologies are understood, responsibly adopted, and translated into sustainable business value.
Position Objective Own the adoption and enablement agenda for Google Cloud, Vertex AI, Gemini, and related AI services within customer and enterprise environments. Ensure that AI initiatives move beyond demonstrations by building stakeholder commitment, user capability, responsible-use practices, measurable adoption, and repeatable operating models. The role complements solution architects and engineering leads by ensuring that people, processes, and business use cases are ready to realize the value of the technical solution.
Key Responsibilities AI Adoption Strategy and Business Alignment • Develop and execute adoption strategies for Google Cloud, Vertex AI, Gemini, and enterprise AI solutions in line with customer objectives and the Google Engineer business roadmap. • Assess organizational readiness, user needs, business priorities, adoption barriers, and change impacts across functions and stakeholder groups. • Define adoption roadmaps, stakeholder plans, communication plans, enablement journeys, and measurable success criteria for each engagement.
• Partner with business and technology leaders to secure sponsorship, align priorities, and embed AI initiatives into day-to-day operating models. Google Cloud, Vertex AI, and Gemini Enablement • Design and deliver practical enablement programs covering Google Cloud concepts, Vertex AI capabilities, Gemini use cases, responsible AI, security, and effective human–AI collaboration. • Create role-based learning paths, workshops, demonstrations, playbooks, quick-reference guides, communications, and communities of practice for technical and non-technical audiences.
• Translate complex cloud, data, AI, and Generative AI concepts into clear business language and hands-on learning experiences. • Coordinate with solution architects and engineering teams so that enablement materials accurately reflect the implemented solution, controls, and operating procedures. • Promote responsible AI behaviors, including appropriate use , human oversight, data protection, security, model limitations, and escalation routes.
AI Use-Case Discovery and Production Adoption • Work with business functions and customer teams to identify , prioritize, and validate high-value AI and automation use cases. • Facilitate discovery workshops, design-thinking sessions, stakeholder interviews, and value-assessment activities for Google AI opport